January 2012
Intermediate to advanced
1000 pages
28h 4m
English
book
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
by Gary D. Miner, John Elder, Andrew Fast, Thomas Hill, Robert Nisbet, Dursun Delen
Content preview from Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
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Chapter 17
Summary
Contents 45 (Contents 17)
Why Are You Reading This Contents?
Our Perspective for Applying Text Mining Technology
Why Are You Reading This Chapter?
It is likely that you are reading this chapter for one of two reasons:
1. You read through all of the previous chapters, and this chapter is last.
If this is your reason, you are following the pedagogical (teaching) method that is implicit in the structure of the book:
a. Tell them what you plan to tell them (in the Introduction).
b. Tell them all about it (in the chapters and tutorials).
c. Tell them what ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.